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                                <h1 id="&#x4F7F;&#x7528;rasterio&#x521B;&#x5EFA;&#x6805;&#x683C;&#x6570;&#x636E;">&#x4F7F;&#x7528;Rasterio&#x521B;&#x5EFA;&#x6805;&#x683C;&#x6570;&#x636E;</h1>
<p>&#x4F5C;&#x8005;&#xFF1A;&#x963F;&#x632F; &#x90AE;&#x7BB1;&#xFF1A;tanzhenyugis@163.com</p>
<p>&#x535A;&#x5BA2;&#xFF1A;<a href="https://blog.csdn.net/theonegis/article/details/80089375" target="_blank">https://blog.csdn.net/theonegis/article/details/80089375</a></p>
<p>&#x4FEE;&#x6539;&#x65F6;&#x95F4;&#xFF1A;2018-06-09</p>
<p>&#x58F0;&#x660E;&#xFF1A;&#x672C;&#x6587;&#x4E3A;&#x535A;&#x4E3B;&#x539F;&#x521B;&#x6587;&#x7AE0;&#xFF0C;&#x8F6C;&#x8F7D;&#x8BF7;&#x6CE8;&#x660E;&#x539F;&#x6587;&#x51FA;&#x5904;</p>
<hr>
<h2 id="&#x65B9;&#x6CD5;&#x63CF;&#x8FF0;">&#x65B9;&#x6CD5;&#x63CF;&#x8FF0;</h2>
<p>&#x4F7F;&#x7528;Rasterio&#x521B;&#x5EFA;&#x5E76;&#x5199;&#x5165;&#x6805;&#x683C;&#x6570;&#x636E;&#x6BD4;GDAL&#x8FD8;&#x7B80;&#x5355;&#x4E00;&#x4E9B;&#xFF0C;&#x57FA;&#x672C;&#x4F7F;&#x7528;&#x5230;&#x4E24;&#x4E2A;&#x51FD;&#x6570;&#xFF1A;</p>
<ul>
<li><code>rasterio.open()</code></li>
<li><code>write()</code></li>
</ul>
<p>&#x5728;<code>open()</code>&#x51FD;&#x6570;&#x5F53;&#x4E2D;&#xFF0C;&#x6211;&#x4EEC;&#x53EF;&#x4EE5;&#x50CF;GDAL&#x4E2D;&#x7684;<code>Create()</code>&#x65B9;&#x6CD5;&#x4E00;&#x6837;&#xFF0C;&#x8BBE;&#x7F6E;&#x6570;&#x636E;&#x7C7B;&#x578B;&#xFF0C;&#x6570;&#x636E;&#x5C3A;&#x5BF8;&#xFF0C;&#x6295;&#x5F71;&#x5B9A;&#x4E49;&#xFF0C;&#x4EFF;&#x5C04;&#x53D8;&#x6362;&#x53C2;&#x6570;&#x7B49;&#x4E00;&#x7CFB;&#x5217;&#x4FE1;&#x606F;</p>
<p>&#x53E6;&#x5916;&#xFF0C;Rasterio&#x4E2D;&#x7684;&#x6570;&#x636E;&#x96C6;&#x63D0;&#x4F9B;&#x4E86;&#x4E00;&#x4E2A;<code>profile</code>&#x5C5E;&#x6027;&#xFF0C;&#x901A;&#x8FC7;&#x8BE5;&#x5C5E;&#x6027;&#x53EF;&#x4EE5;&#x83B7;&#x53D6;&#x8FD9;&#x4E9B;&#x4FE1;&#x606F;&#x7684;&#x96C6;&#x5408;&#xFF0C;&#x8FD9;&#x6837;&#x6211;&#x4EEC;&#x8BFB;&#x53D6;&#x6E90;&#x6570;&#x636E;&#x6587;&#x4EF6;&#x7684;&#x65F6;&#x5019;&#x83B7;&#x5F97;&#x8BE5;&#x5C5E;&#x6027;&#xFF0C;&#x7136;&#x540E;&#x5BF9;&#x6E90;&#x6570;&#x636E;&#x8FDB;&#x884C;&#x5904;&#x7406;&#xFF0C;&#x518D;&#x521B;&#x5EFA;&#x5199;&#x5165;&#x6587;&#x4EF6;&#x7684;&#x65F6;&#x5019;&#xFF0C;&#x5728;<code>open()</code>&#x51FD;&#x6570;&#x4E2D;&#x4F20;&#x5165;<code>profile</code>&#x5373;&#x53EF;&#xFF0C;&#x8FD9;&#x6837;&#x5C31;&#x6709;&#x70B9;&#x50CF;GDAL&#x4E2D;&#x7684;<code>CreateCopy()</code>&#x51FD;&#x6570;&#x3002;&#x4F46;&#x662F;Rasterio&#x6BD4;<code>CreateCopy()</code>&#x66F4;&#x4E3A;&#x5F3A;&#x5927;&#x7684;&#x5730;&#x65B9;&#x662F;&#xFF1A;&#x4F60;&#x53EF;&#x4EE5;&#x4FEE;&#x6539;<code>profile</code>&#x4EE5;&#x9002;&#x914D;&#x4F60;&#x7684;&#x76EE;&#x6807;&#x6587;&#x4EF6;&#xFF0C;&#x800C;<code>CreateCopy()</code>&#x901A;&#x8FC7;&#x63D0;&#x4F9B;&#x7684;&#x539F;&#x578B;&#x6587;&#x4EF6;&#x8FDB;&#x884C;&#x521B;&#x5EFA;&#xFF0C;&#x65E0;&#x6CD5;&#x76F4;&#x63A5;&#x5BF9;&#x8FD9;&#x4E9B;&#x5143;&#x4FE1;&#x606F;&#x8FDB;&#x884C;&#x4FEE;&#x6539;&#x3002;</p>
<h2 id="&#x4EE3;&#x7801;&#x793A;&#x4F8B;">&#x4EE3;&#x7801;&#x793A;&#x4F8B;</h2>
<p>&#x4E0B;&#x9762;&#x7684;&#x4EE3;&#x7801;&#x901A;&#x8FC7;&#x8BFB;&#x53D6;&#x4E00;&#x4E2A;&#x4E09;&#x4E2A;&#x6CE2;&#x6BB5;&#x7684;Landsat&#x5F71;&#x50CF;&#xFF0C;&#x8BA1;&#x7B97;NDVI&#x6307;&#x6570;&#xFF0C;&#x7136;&#x540E;&#x521B;&#x5EFA;&#x8F93;&#x51FA;&#x5E76;&#x4FDD;&#x5B58;&#x7684;&#x4F8B;&#x5B50;&#x3002;</p>
<p>&#x6CE8;&#x610F;&#x8BA1;&#x7B97;NDVI&#x7684;&#x65F6;&#x5019;&#x5BF9;&#x4E8E;&#x9664;&#x6570;&#x4E3A;0&#x7684;&#x5904;&#x7406;&#x3002;</p>
<pre><code class="lang-Python"><span class="hljs-keyword">import</span> rasterio
<span class="hljs-keyword">import</span> numpy <span class="hljs-keyword">as</span> np

<span class="hljs-comment"># &#x8BFB;&#x5165;&#x7684;&#x6570;&#x636E;&#x662F;&#x7EFF;&#xFF0C;&#x7EA2;&#xFF0C;&#x8FD1;&#x7EA2;&#x5916;&#x6CE2;&#x6BB5;&#x7684;&#x5408;&#x6210;&#x6570;&#x636E;</span>
<span class="hljs-keyword">with</span> rasterio.open(<span class="hljs-string">&apos;LC08_122043_20161207.tif&apos;</span>) <span class="hljs-keyword">as</span> src:
    raster = src.read()  <span class="hljs-comment"># &#x8BFB;&#x53D6;&#x6240;&#x6709;&#x6CE2;&#x6BB5;</span>
    <span class="hljs-comment"># &#x6E90;&#x6570;&#x636E;&#x7684;&#x5143;&#x4FE1;&#x606F;&#x96C6;&#x5408;&#xFF08;&#x4F7F;&#x7528;&#x5B57;&#x5178;&#x7ED3;&#x6784;&#x5B58;&#x50A8;&#x4E86;&#x6570;&#x636E;&#x683C;&#x5F0F;&#xFF0C;&#x6570;&#x636E;&#x7C7B;&#x578B;&#xFF0C;&#x6570;&#x636E;&#x5C3A;&#x5BF8;&#xFF0C;&#x6295;&#x5F71;&#x5B9A;&#x4E49;&#xFF0C;&#x4EFF;&#x5C04;&#x53D8;&#x6362;&#x53C2;&#x6570;&#x7B49;&#x4FE1;&#x606F;&#xFF09;</span>
    profile = src.profile
    <span class="hljs-comment"># &#x8BA1;&#x7B97;NDVI&#x6307;&#x6570;&#xFF08;&#x5BF9;&#x9664;0&#x505A;&#x7279;&#x6B8A;&#x5904;&#x7406;&#xFF09;</span>
    <span class="hljs-keyword">with</span> np.errstate(divide=<span class="hljs-string">&apos;ignore&apos;</span>, invalid=<span class="hljs-string">&apos;ignore&apos;</span>):
        ndvi = (raster[<span class="hljs-number">2</span>] - raster[<span class="hljs-number">1</span>]) / (raster[<span class="hljs-number">2</span>] + raster[<span class="hljs-number">1</span>])
        ndvi[ndvi == np.inf] = <span class="hljs-number">0</span>
        ndvi = np.nan_to_num(ndvi)
    <span class="hljs-comment"># &#x5199;&#x5165;&#x6570;&#x636E;</span>
    profile.update(
        dtype=ndvi.dtype,
        count=<span class="hljs-number">1</span>
    )
    <span class="hljs-string">&apos;&apos;&apos;&#x4E5F;&#x53EF;&#x4EE5;&#x5728;rasterio.open()&#x51FD;&#x6570;&#x4E2D;&#x4F9D;&#x6B21;&#x5217;&#x51FA;&#x6240;&#x6709;&#x7684;&#x53C2;&#x6570;
    with rasterio.open(&apos;NDVI.tif&apos;, mode=&apos;w&apos;, driver=&apos;GTiff&apos;,
                       width=src.width, height=src.height, count=1,
                       crs=src.crs, transform=src.transform, dtype=ndvi.dtype) as dst:
    &apos;&apos;&apos;</span>
    <span class="hljs-keyword">with</span> rasterio.open(<span class="hljs-string">&apos;NDVI.tif&apos;</span>, mode=<span class="hljs-string">&apos;w&apos;</span>, **profile) <span class="hljs-keyword">as</span> dst:
        dst.write(ndvi, <span class="hljs-number">1</span>)
</code></pre>

                                
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